Research Engineer Machine Learning Rl Velocity Jobs in San Francisco, CA

learning frameworks (PyTorch, TensorFlow, JAX) Have industry experience in machine learning research Can balance research exploration with engineering

About the Role We're looking for a Machine Learning Engineer to contribute to high-performance distributed training infrastructure

We're looking for a creative problem solver who has broad knowledge of a variety of fields within machine learning, and is interested in building real world solutions

As a Research Engineer on the team, you'll work at the center of RL at Anthropic.

He was also a researcher at the Broad Institute.

We’re looking for research engineers and scientists who have gotten training runs working at scale, are immersed in RL for language models, and want their

You have a deep understanding of machine learning and machine learning applications.

We're a tight-knit team of product engineers, infrastructure specialists, and machine learning experts focused on building the world’s first audio data research

What We’re Looking For 2-8 years of machine learning engineering experience in high-velocity, high-growth companies.

AI Researcher (World Models & VLA) What you’ll do A visionary Machine Learning Engineer to join our

Engineer, Cybersecurity RL (Reinforcement Learning) — RL for security-relevant coding capabilities

About the Role As a Staff Machine Learning Research Engineer, you will operate across the full breadth of AIS’s technical needs — wherever the hardest

As a Research Engineer on the Distributed Systems team within RL Engineering, you'll work on whatever part of that system is the current limit.

About the RL teams Our Reinforcement Learning teams lead Anthropic's reinforcement learning research and development, playing